Dual-camera Phase Retrieval Based on Fast Adaption Image Restoration and Transport of Intensity Equation

In the dual-camera phase retrieval method, the phase is solved by positive- and negative- defocusing images obtained through a single exposure after dual cameras are installed on an inverted microscope. However, due to the installation error of the cameras, translation and rotation of images exist between the images, resulting inaccurate phase retrieval results. In this paper, we proposed a dual-camera phase retrieval method based on fast adaption image restoration and transport of intensity equation. Firstly, let the positive-defocusing image be the reference image. Then using the fast adaption image restoration algorithm to find the texture information in order to find best matching block quickly. According to the number of high frequency information of the block, the size of block can be defined in order to increase the precision and speed of the restoration. After that, priority can be change as the sum of two parts, which can avoid the situation of 0 priority. Then, burring the boundary point of restored image in order to reduce the block effect. Finally, the transport of intensity equation can be used in phase retrieval results. Comparing with the normal algorithm, this method can restore the image much better.